TYPE 1 AND TYPE 2 ERRORS

TYPE 1 ERROR - 

researcher concludes that the results are significant , when the results are really due to chance factors. 

Rejecting the null hypothesis when it should have been accpted

Known as a false positive 

The chances of making a Type 1 error are always the same as your level of significane.

As your significance level decreases the chance of type 1 error decreses. 

TYPE 2 ERROR-

when the researcher concludes the results are…